| Citation: | SUN Yixuan, BAI Junqiang, LIU Jinlong, et al. Gust alleviation control for flying-wing UAV by control surface based on limited parameter variation rate[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(7): 1387-1397. doi: 10.13700/j.bh.1001-5965.2019.0435(in Chinese)
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The flying-wing UAV has problems such as low pitching inertia and weak longitudinal stability, and as a result, its gust alleviation characteristics are sensitive to the changes in flight parameters. Furthermore, the flying-wing UAV has multiple control surfaces, the control effects of different placements of control surfaces are generally various. Therefore, the Linear Parameter Varying (LPV) control law design considering parameter variation rate for gust alleviation of this kind of aircraft and the research on the effects of different control surface placements are of great significance. Combined with the parameter-dependent Lyapunov function method and the parameter-varying oblique projection reduction algorithm, an LPV gust alleviation controller considering both parameter variation rate and model reduction is constructed. Based on this method, the LPV gust alleviation controller is designed for the Mini-MUTT flying-wing UAV model, and the influence of different strategies of control surface placement on the control performance is studied. The result shows that the reduced-order model obtained by the parameter-varying oblique projection reduction algorithm can effectively represent the dynamic characteristics of the full-order model. The designed LPV controller can guarantee the effective alleviation of the gust in a wide speed range. In the strategy that single control surface is considered, the control effect of the outboard control surface is superior to that of the inboard one. In addition, the control effect of double control surfaces is better than that of the single one, but the energy of control input of double control surfaces is greater than that of the single one. As a result, the control effect and energy consumption should be considered comprehensively to determine the appropriate control strategy for specific problems in engineering application.
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